Summary In today's episode, I address a viewer question about whether it's okay to load a copyrighted book into a custom GPT's knowledge base and then sell access to that GPT. Here's what this means for you. You'll understand why three practicing lawyers unanimously warn against using unlicensed copyrighted works in commercial GPTs and how…
Summary In today's episode, I break down structural inflation driven by climate change and explain how it ripples through every sector of the economy. Here's what this means for you. You gain a clearer framework for spotting hidden cost pressures before they hit your wallet or your business. You'll also learn these concepts: why systemic…
Summary In today's episode, I break down how to decide whether generative AI, especially language models, belongs inside your software product. Here's what this means for you. You'll get a clear decision framework so you can evaluate use cases against real user pain points instead of chasing hype. You'll also learn these concepts: how an…
Summary In today's episode, I break down the difference between fine-tuning and retrieval augmented generation so you can decide which approach fits your situation. Here's what this means for you. You'll know exactly which technique to ask for the next time a language model misbehaves or simply lacks the knowledge you need. You'll also learn…
Summary In today's episode, I walk through how to set up SPF, DKIM, and DMARC email authentication protocols for HubSpot to fix deliverability issues. Here's what this means for you. You gain a clear path to keeping your marketing emails out of spam folders ahead of Google and Yahoo's new 2024 requirements. You'll also learn…
In today’s episode, we delve deep into the realm of AI ethics, focusing specifically on the ethical dimensions embedded within AI models themselves. You’ll learn about the three critical levels of language models and how each level impacts the model’s ethical considerations. The discussion covers the three pillars of AI ethics – helpful, truthful, and…
In today’s episode, we’re discussing Apple’s strategy in the generative AI space. You’ll gain insights into the capabilities of Apple’s neural engine, the innovative architecture of their M-series chips, and the significant implications for AI and machine learning. Learn about Apple’s approach to integrating AI into their devices, offering not just more power, but also…
In today’s episode, we explore the transformative potential of AI in making complex government data accessible and useful. You’ll learn about the challenges of working with government-published data and how generative AI, like large language models, can revolutionize this process. Discover how AI can convert poorly formatted governmental records into valuable, analyzable data, opening up…
Summary In today's episode, I walk through how AI developers build ethics directly into language models, covering the difference between foundation, supervised fine-tuned, and reinforcement learning models along with the helpful, harmless, and truthful framework that shapes model behavior. Here's what this means for you. You'll know exactly why models refuse certain requests and how…
